Description
Core Data Management ExpertiseCandidates should demonstrate proven consulting and implementation experience across several of the following areas:Enterprise Data Governance framework design and operationalizationCurrent-state and Data Management maturity assessments, gap analysis, and improvement roadmapsData Quality frameworks, dimensions, business rules, controls, scorecards, monitoring, root-cause analysis, and remediation planningMetadata Management, including business glossaries, data dictionaries, data catalogues, lineage, ownership, and stewardshipMaster Data Management (MDM), reference data, Golden Record, matching, survivorship, deduplication, and authoritative data sourcesEnterprise Data Modelling, including conceptual and logical modelsData classification, privacy, security, risk, retention, and regulatory complianceData exchange and interoperability, including APIs, data contracts, integration standards, and cross-system data flowsData strategy, operating models, annual roadmaps, KPIs, governance controls, risk registers, and executive reportingDevelopment of policies, standards, procedures, SOPs, governance playbooks, and formal documentation suitable for organizational approvalEmerging and Strategic CapabilitiesPriority should be given to candidates who can support emerging Digital Dubai requirements, particularly:AI-ready data, including data readiness assessments, fitness-for-purpose and quality for AI, metadata, lineage and provenance, ownership, privacy-by-design, and ongoing governanceDubai Registers and authoritative data sources, including register governance, ownership models, unified definitions, Data Quality, metadata, unique identifiers, interoperability, and single-source-of-truth principlesGovernment-wide data exchange, including entity onboarding, data inventory and prioritization, classification, metadata onboarding, data contracts, compliance monitoring, and ongoing data maintenanceAutomation of Data Management controls, including automated profiling, validation, Data Quality monitoring, workflow tracking, and management dashboardsExperience translating strategies and frameworks into practical operating models, implementation roadmaps, governance controls, measurable KPIs, and sustainable operational processesAbility to bridge business, governance, policy, and technical teams, rather than being limited to either policy documentation or technical implementation aloneGovernment and Stakeholder ExperienceThe preferred candidate should have:Strong experience in government, public-sector, regulated, or complex federated environmentsExperience working across multiple entities and coordinating business owners, data owners, stewards, legal, compliance, information security, architecture, engineering, and platform teamsAbility to facilitate workshops, achieve stakeholder alignment, present recommendations to senior leadership, and manage competing prioritiesStrong executive writing, presentation, negotiation, advisory, and change-management skillsExperience building internal capability through structured knowledge transfer, training, governance playbooks, and mentoringPreferred Frameworks, Certifications, and ToolsPreference may be given to candidates with:CDMP, DCAM, Certified Data Governance Professional, Certified Data Quality Professional, or equivalent professional credentialsPractical knowledge of DAMA-DMBOK, DCAM, ISO 8000, and recognized Data Management maturity or governance frameworksExperience with enterprise Data Governance, Data Quality, metadata, or data catalogue platforms such as Ataccama, Collibra, Alation, Informatica, or equivalent platformsWorking knowledge of SQL, data profiling, Power BI or Tableau, and modern data platformsProject or programme management certification or experience, such as PMP, particularly for candidates who have led or managed enterprise-wide data transformation initiatives